Validates word/phrase appropriateness, common usage, and correctness in computer science research papers for top-tier conferences, with scores and alternatives.
npx claudepluginhub minhuw/claude-writerThis skill uses the workspace's default tool permissions.
Assess whether marked words or phrases are appropriate, commonly used, and correct in the context of technical research papers, providing alternatives when needed.
Polishes English for CS/ML academic papers with section templates (abstract, intro, methods), phrase banks, vocabulary suggestions, and 2-3 alternatives per revision.
Drafts, revises, audits academic essays, reports, literature reviews enforcing sentence variation, academic verbs, hedging, anti-AI compliance. For rubric polish, prose revision.
Self-reviews first-draft academic paper paragraphs on logic, expression, detail, framing, and reader orientation axes; directs revisions for intro, abstract, method, related work.
Share bugs, ideas, or general feedback.
Assess whether marked words or phrases are appropriate, commonly used, and correct in the context of technical research papers, providing alternatives when needed.
The user will provide a sentence with a word or phrase marked using <> delimiters.
Example: "The system demonstrates performance under various workloads."
Follow this two-step process:
Provide a confidence score (0-100) for the current usage based on:
<> markers removedExample:
Score: 85/100 - Usage is appropriate and commonly used in systems research.
Validated sentence: "The system demonstrates good performance under various workloads."
Provide comprehensive feedback:
Explanation - Why the word/phrase is suboptimal:
Alternatives - Provide 2-3 better candidates with:
Example:
Score: 65/100 - The word "good" is grammatically correct but too informal and imprecise for academic writing.
Alternatives:
- **strong** (90/100): More precise and widely used in performance discussions; conveys solid results without overstatement
- **favorable** (85/100): Formal and appropriate; emphasizes positive aspects; common in academic papers
- **competitive** (80/100): Implies comparison with baselines; suitable if benchmarking against other systems
Assess marked text based on:
Graduate students, professors, and researchers in computer science writing for top-tier conferences (e.g., OSDI, NSDI, SOSP, SIGCOMM).